Classification of 12-lead ECGs: The PhysioNet/Computing in Cardiology Challenge 2020 1.0.2

File: <base>/training/georgia/g5/E04523.hea (721 bytes) 
E04523 12 500 5000
E04523.mat 16x1+24 1000.0(0)/mV 16 0 -29 -22309 0 I
E04523.mat 16x1+24 1000.0(0)/mV 16 0 19 31739 0 II
E04523.mat 16x1+24 1000.0(0)/mV 16 0 48 -10608 0 III
E04523.mat 16x1+24 1000.0(0)/mV 16 0 4 28194 0 aVR
E04523.mat 16x1+24 1000.0(0)/mV 16 0 -39 26740 0 aVL
E04523.mat 16x1+24 1000.0(0)/mV 16 0 34 10373 0 aVF
E04523.mat 16x1+24 1000.0(0)/mV 16 0 -19 -6507 0 V1
E04523.mat 16x1+24 1000.0(0)/mV 16 0 117 8045 0 V2
E04523.mat 16x1+24 1000.0(0)/mV 16 0 9 -4578 0 V3
E04523.mat 16x1+24 1000.0(0)/mV 16 0 -68 -14855 0 V4
E04523.mat 16x1+24 1000.0(0)/mV 16 0 -146 -23314 0 V5
E04523.mat 16x1+24 1000.0(0)/mV 16 0 -244 -15429 0 V6
# Age: 64
# Sex: Male
# Dx: 428750005,426177001
# Rx: Unknown
# Hx: Unknown